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We prove that the affine hull of the set of vectors represented by a binary automaton is computable in polynomial time.
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The brain can't see it because appetite is determined by a binary system.
The crux of the method consists of two algorithms: one is to compute the regular set of the sequences of tokens produced by a nondeterministic Mealy automaton when the automaton processes elements of an input regular set.
Even though the definition of a Moore automaton seems to be more restrictive than the definition of a Mealy automaton, the two notions are basically equivalent, as any Mealy automaton can be modeled by a Moore automaton.
The overall SCD model is represented by a hybrid automaton.
The tracks are reconstructed by a Cellular Automaton algorithm followed by a Kalman Filter.
A monitored robust force control strategy is specified by a hybrid automaton.
In particular, we show that if the group is generated by a finite automaton, then obtained matrices are automatic.
One of the most important steps of SAN model creation is to decide which part of a system to model by an individual automaton.
Affordances dynamics are represented by a finite state automaton.
Mark Zuckerberg, as interpreted by this film, comes off as a binary personality.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com